📋 GCP Data Services Cheat Sheet

Quick reference for Google Cloud data services.

Why This Cheat Sheet Matters for CDL

This cheat sheet covers the most important Data & Analytics concepts tested on the CDL (Cloud Digital Leader) certification exam. It contains 1 sections with 8 key points. Use this as a quick-reference guide during your final review sessions.

1Sections
8Key Points

Key Services

  • BigQuery: serverless data warehouse, petabyte-scale, standard SQL, ML built-in.
  • Cloud Storage: object storage with 4 classes (Standard, Nearline, Coldline, Archive).
  • Cloud SQL: managed MySQL, PostgreSQL, SQL Server.
  • Cloud Spanner: globally distributed, strongly consistent relational DB.
  • Firestore: serverless NoSQL document database.
  • Bigtable: wide-column NoSQL for high-throughput, low-latency workloads.
  • Pub/Sub: messaging for event-driven architectures.
  • Dataflow: stream and batch data processing (Apache Beam).

Practice Data & Analytics Questions

Put your knowledge to the test with practice questions.

Google Cloud Service Quick Reference

GCP organises services around Compute (GCE, GKE, Cloud Run, App Engine, Cloud Functions), Storage (Cloud Storage, Persistent Disk, Filestore), Databases (Cloud SQL, Spanner, Firestore, Bigtable, BigQuery), and Networking (VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect). Knowing which service fits each use case is essential for passing GCP exams.

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